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@OSU-MR

OSU-MR

README.md

Welcome to Ohio State University's MRI Reconstruction (OSU-MR) Toolbox

PI's website: https://u.osu.edu/ahmad/

Welcome to OSU-MR. Our primary focus is to share code for MR data acquisition, pre-processing, and reconstruction. Our codebase is built on the principle of transparency, accessibility, and reproducibility.

Public code repositories

Surface coil intensity correction (SCC)

Implementation of a surace coil intensity correction for the MRI data collected on Siemens' scanners

Image reconstruction with posterior sampling (CNF)

Implementation of conditional normalizing flow for accelerated multi-coil MRI reconstruction

Self-supervised image reconstruction (ReSiDe)

A plug-and-play-based self-supervised MRI reconstruction method

Motion-robust volumetric CMR reconstruction (CORe)

Image reconstruction with outlier rejection for motion-robust free-running 3D imaging

Data sampling (GRO, CAVA, VISTA, OPRA, PR4D)

Implementation of pseudo-random Cartesian sampling patterns for 2D cine, 2D flow, 3D cine, and 4D flow

Calibrationless image reconstruction (HICU)

Implementation of a calibrationless k-space reconstruction for 2D static, 3D static, and 2D+t dynamic applications

Parameter-free reconstruction (SCoRe)

Implementation of a parameter-free, sparsity adaptive reconstrution for 2D cardiac MRI

Reconstruction based on Bayesian modeling (ReVEAL)

Implementation of a reconstruction method for accelerated 2D phase contrast and 4D flow imaging

Public data repositories

Open-access multi-coil k-space dataset for CMR (OCMR)

Popular repositories Loading

  1. motion-robust-CMR motion-robust-CMR Public

    This Github repository contains the reconstruction algorithms for "Motion-robust free-running volumetric cardiovascular MRI" (Arshad et al., 2024). Datasets for in-vivo studies can be found at http…

    MATLAB 7

  2. SCC SCC Public

    Intensity correction map generator for Siemens raw data

    Jupyter Notebook 3 1

  3. reside reside Public

    MRI Recovery with Self-Calibrated Denoisers without Fully-Sampled Data

    Python 1

  4. .github .github Public

  5. OCMR OCMR Public

    Forked from MRIOSU/OCMR

    OCMR (Open-Access Repository for Multi-Coil k-space Data for Cardiovascular Magnetic Resonance Imaging)

    Jupyter Notebook

  6. mri_cnf mri_cnf Public

    Python

Repositories

Showing 7 of 7 repositories
  • motion-robust-CMR Public

    This Github repository contains the reconstruction algorithms for "Motion-robust free-running volumetric cardiovascular MRI" (Arshad et al., 2024). Datasets for in-vivo studies can be found at https://zenodo.org/records/12515230

    OSU-MR/motion-robust-CMR’s past year of commit activity
    MATLAB 7 0 0 0 Updated Dec 26, 2024
  • DISCUS Public
    OSU-MR/DISCUS’s past year of commit activity
    Jupyter Notebook 0 MIT 0 0 0 Updated Dec 19, 2024
  • SCC Public

    Intensity correction map generator for Siemens raw data

    OSU-MR/SCC’s past year of commit activity
    Jupyter Notebook 3 1 0 0 Updated Oct 19, 2024
  • .github Public
    OSU-MR/.github’s past year of commit activity
    0 0 0 0 Updated Mar 30, 2024
  • reside Public

    MRI Recovery with Self-Calibrated Denoisers without Fully-Sampled Data

    OSU-MR/reside’s past year of commit activity
    Python 1 0 0 0 Updated Oct 13, 2023
  • mri_cnf Public
    OSU-MR/mri_cnf’s past year of commit activity
    Python 0 MIT 0 0 0 Updated Aug 1, 2023
  • OCMR Public Forked from MRIOSU/OCMR

    OCMR (Open-Access Repository for Multi-Coil k-space Data for Cardiovascular Magnetic Resonance Imaging)

    OSU-MR/OCMR’s past year of commit activity
    Jupyter Notebook 0 14 0 0 Updated Apr 11, 2022

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